Parse a file to make group items.

gistfile1.py

from collections import defaultdict

def read_team_info(path):
    status = "None"
    total = defaultdict(list)
    team_info = []
    fp = open(path, "r")
    for line in fp:
        line = line.rstrip()
        if len(line) == 0:
            total[status].append(team_info)
            team_info = []
            status = ""
        elif line.startswith("MEMBER") or status == "MEMBER":
            if status != "MEMBER": status = "MEMBER"
            else: team_info.append(line)
        elif line.startswith("INFO") or status == "INFO":
            if status != "INFO": status = "INFO"
            else: team_info.append(line)
        else:
            raise NameError('Please check markup')
    total[status].append(team_info)
    fp.close()
    return total

if __name__ == "__main__":
    print read_team_info("team.txt")

Output:

$ python parse_doc.py 
{'MEMBER': [['tom', 'sanghee', 'mike'], ['a', 'b', 'c'], ['a', 'a', 'a']], 'INFO': [['TThis is my love for you. This is my love for you. This is my love for you. This is my love for you. This is my love for you. This is my love for you. his is my love for you. This is my love for youb'], ['a'], ['b', 'b.']]}

Revisions 3:

Using high performance container datatypes for convenience.
http://docs.python.org/2/library/collections.html